Glossary term
What is R-squared (R2)?
In Apex Flow Academy, "R-squared (R2)" means: How much better a model is than always guessing the average: 1 is perfect, 0 is no better, negative is worse. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include MAE, Precision, Grid search and Recall.
- 1 course teaches it
- plain-word definition
The facts
What is R-squared (R2)?
How much better a model is than always guessing the average: 1 is perfect, 0 is no better, negative is worse.
Where is R-squared (R2) taught?
R-squared (R2) is defined in Machine Learning With Python: From Zero to a Working Model.
Which lessons cover R-squared (R2)?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 4.2: Measure the size of the misses
Which terms are related to R-squared (R2)?
Next to R-squared (R2) in the course glossaries: MAE, Precision, Grid search, Recall, Hyperparameter, Permutation importance, Cross-validation and Virtual environment.
MAEPrecisionGrid searchRecallHyperparameterPermutation importanceCross-validationVirtual environment
The hard questions, answered straight
Bold questions people really ask. Each answer comes from the course data or a settled Academy fact.
Do I need experience before I learn R-squared (R2)?
It depends on the course. Each course that teaches it lists its own prerequisites, and all are listed at beginner level:
- Machine Learning With Python: From Zero to a Working Model: Basic Python: variables, lists, dictionaries, functions, and running a .py file from a terminal.